Job Description

You’ll work closely with engineering, analytics, and product teams to ensure data is accurate, accessible, and efficiently processed across the organization.


Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and architectures.
  • Collect, process, and transform data from multiple sources into structured, usable formats.
  • Ensure data quality, reliability, and security across all systems.
  • Work with data analysts and data scientists to optimize data models for analytics and machine learning.
  • Implement ETL (Extract, Transform, Load) processes and automate workflows.
  • Monitor and troubleshoot data infrastructure, ensuring minimal downtime and high performance.
  • Collaborate with cross-functional teams to define data requirements and integrate new data sources.
  • Maintain comprehensive documentation for data systems and processes.


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